Weifeng Shen
About
Weifeng Shen is a scholar working on Control and Systems Engineering, Biomedical Engineering and Mechanical Engineering.
According to data from OpenAlex, Weifeng Shen has authored 178 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Control and Systems Engineering, 38 papers in Biomedical Engineering and 36 papers in Mechanical Engineering. Recurrent topics in Weifeng Shen's work include Process Optimization and Integration (88 papers), Advanced Control Systems Optimization (59 papers) and Chemistry and Chemical Engineering (20 papers). Weifeng Shen is often cited by papers focused on Process Optimization and Integration (88 papers), Advanced Control Systems Optimization (59 papers) and Chemistry and Chemical Engineering (20 papers). Weifeng Shen collaborates with scholars based in China, Hong Kong and France. Weifeng Shen's co-authors include Ao Yang, Jingzheng Ren, Shun’an Wei, Yang Su, Saimeng Jin, Shirui Sun, Lichun Dong, I‐Lung Chien, Vincent Gerbaud and Tao Shi and has published in prestigious journals such as Science, Journal of Hazardous Materials and Bioresource Technology.
In The Last Decade
Weifeng Shen
169 papers receiving 5.1k citations
Hit Papers
Author Peers
Peers are selected by citation overlap in the author's most active subfields. citations · hero ref
| Author | Last Decade | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|
| Weifeng Shen | 3.1k | 1.6k | 1.3k | 775 | 757 | 178 | 5.2k | |
| Anton A. Kiss | 4.8k 1.5× | 2.5k 1.6× | 3.0k 2.3× | 772 1.0× | 767 1.0× | 179 | 7.6k | |
| Robin Smith | 5.0k 1.6× | 2.6k 1.6× | 1.0k 0.8× | 324 0.4× | 422 0.6× | 197 | 7.5k | |
| Juan Gabriel Segovia‐Hernández | 3.1k 1.0× | 904 0.6× | 1.4k 1.1× | 228 0.3× | 331 0.4× | 234 | 4.1k | |
| I‐Lung Chien | 3.5k 1.1× | 1.2k 0.7× | 1.3k 1.0× | 602 0.8× | 488 0.6× | 138 | 4.5k | |
| David Shan‐Hill Wong | 1.6k 0.5× | 1.4k 0.9× | 2.0k 1.5× | 934 1.2× | 657 0.9× | 199 | 5.6k | |
| Andrzej Górak | 2.2k 0.7× | 1.9k 1.2× | 2.0k 1.5× | 428 0.6× | 729 1.0× | 212 | 4.9k | |
| Günter Wozny | 1.9k 0.6× | 771 0.5× | 951 0.7× | 552 0.7× | 705 0.9× | 264 | 4.0k | |
| José A. Caballero | 2.0k 0.7× | 1.1k 0.7× | 1.8k 1.4× | 168 0.2× | 1.1k 1.5× | 137 | 5.2k | |
| Ao Yang | 2.3k 0.7× | 1.2k 0.7× | 826 0.6× | 385 0.5× | 255 0.3× | 113 | 3.2k | |
| Teng Zhou | 780 0.3× | 1.2k 0.7× | 1.1k 0.8× | 1.6k 2.0× | 808 1.1× | 81 | 3.3k |
Countries citing papers authored by Weifeng Shen
Since
Specialization
Citations
This map shows the geographic impact of Weifeng Shen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weifeng Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weifeng Shen more than expected).
Fields of papers citing papers by Weifeng Shen
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Weifeng Shen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weifeng Shen. The network helps show where Weifeng Shen may publish in the future.
Co-authorship network of co-authors of Weifeng Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Weifeng Shen. A scholar is included among the top collaborators of Weifeng Shen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Weifeng Shen. Weifeng Shen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Yang, Ao, Chenglin Chang, Ting Qiu, et al.. (2025). A general distillation strategy and energy-efficient process design for optimal sequence screening in complicated homologue-azeotrope coexisting system. Separation and Purification Technology. 364. 132204–132204.
2.
Wang, Bohong, Hengcong Tao, Chenglin Chang, et al.. (2025). An integrated algorithm framework for multi-objective optimization of heat exchanger networks considering temperature-dependent heat capacity. Chemical Engineering Science. 305. 121183–121183.
3.
Hu, Yi, Tao Shi, Ao Yang, et al.. (2025). Investigation on the molecular interaction mechanisms of ionic liquid-organic mixed entrainers for azeotrope separation in extractive distillation. Separation and Purification Technology. 363. 132262–132262.
4.
Wang, Qin, Pan Dai, Ao Yang, Weifeng Shen, & Jun Zhang. (2024). Deep learning-driven green solvent design and process intensification towards isopropyl alcohol-water azeotrope system. Separation and Purification Technology. 360. 131103–131103.
5.
Chang, Chenglin, et al.. (2024). A hybrid algorithm framework for heat exchanger networks synthesis considering the optimal locations of multiple utilities. Chemical Engineering Science. 301. 120732–120732.
6.
Sun, Shirui, Huisheng Huang, Mingyang Du, et al.. (2024). Towards sustainable recovery of tetrahydrofuran, ethyl acetate, and methanol from waste effluent via thermal coupled extractive distillation and multi-objective optimization. Process Safety and Environmental Protection. 194. 619–629.
7.
Li, Z., et al.. (2024). Sustainable and efficient separation of ternary multi-azeotropic mixture butanone/ethanol/water based on the intensified reactive extractive distillation: process design, multi-objective optimization, and multi-criteria decision-making. Separation and Purification Technology. 355. 129694–129694.
8.
Yin, Tian, Lan Zhou, Cailong Zhou, et al.. (2024). Experimental and Quantum Chemical Calculations on the High-Efficiency Transesterification of Dimethyl Carbonate with Alcohol Catalyzed by Calcium Oxide. The Journal of Organic Chemistry. 89(14). 9929–9936.
9.
Yang, Junjie, Xingxing Gu, Jun Li, et al.. (2024). Metal–organic framework-derived materials for enhanced performance of aqueous zinc ion batteries: a mini review. CrystEngComm. 26(38). 5314–5323.
10.
Li, Yue, Lijuan Hu, Ning Li, & Weifeng Shen. (2023). A Light Attention-Mixed-Base Deep Learning Architecture toward Process Multivariable Modeling and Knowledge Discovery. Computers & Chemical Engineering. 174. 108259–108259.
11.
Qi, Lu, Ao Yang, Zong Yang Kong, Shirui Sun, & Weifeng Shen. (2023). Insight on the sustainable design and multi-objective optimization for separating the ternary azeotropic mixture of toluene/n-butanol/water by natural decanting coupled with pressure swing distillation. Separation and Purification Technology. 313. 123434–123434.
12.
Yang, Lu, et al.. (2023). An efficient and invertible machine learning-driven multi-objective optimization architecture for light olefins separation system. Chemical Engineering Science. 285. 119553–119553.
13.
Chang, Chenglin & Weifeng Shen. (2023). Global optimization of the design of intensified shell and tube heat exchanger using tube inserts. The Canadian Journal of Chemical Engineering. 102(1). 350–365.
14.
Wang, Qin, et al.. (2023). A Deep Learning-based Framework Towards inverse Green Solvent Design for Extractive Distillation with Multi-index Constraints. Computers & Chemical Engineering. 177. 108335–108335.
15.
Ayub, Yousaf, Jianzhao Zhou, Jingzheng Ren, et al.. (2023). Tri-generation for sustainable poultry litter valorization: Process design, simulation, optimization, and sustainability assessment for waste-to-wealth. Journal of Cleaner Production. 418. 138139–138139.
16.
Moktadir, Md. Abdul, et al.. (2023). Comparative economic, environmental and exergy analysis of power generation technologies from the waste sludge treatment. Energy Conversion and Management. 286. 117074–117074.
17.
Ayub, Yousaf, Jianzhao Zhou, Jingzheng Ren, et al.. (2023). Plasma gasification based monetization of poultry litter: System optimization and comprehensive 5E (Energy, Exergy, Emergy, Economic, and Environmental) analysis. Energy Conversion and Management. 282. 116878–116878.
18.
Zhou, Jianzhao, et al.. (2023). Integrating machine learning and mathematical programming for efficient optimization of operating conditions in organic Rankine cycle (ORC) based combined systems. Energy. 281. 128218–128218.
19.
Liu, Yue, Tao Shi, Ao Yang, et al.. (2022). Sludge Valorization Process for Waste-to-Value-Added Products: Process Simulation, Sustainability Assessment, and Fuzzy Multi-Criteria Decision Making. ACS Sustainable Chemistry & Engineering. 10(34). 11428–11440.
20.
Shen, Weifeng, et al.. (2015). Automatic localization of vertebrae based on convolutional neural networks. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9413. 94132E–94132E.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.
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